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ML-Classification

30 posts

Hierarchical Classification

Last Updated: 23 July 2025

Hierarchical classification is a task in machine learning where the goal is to assign an instance to one or more classes organized in a hierarchy, rather than choosing fro...read more

Machine Learning

ML-Classification

What is the influence of C in SVMs with linear kernel?

Last Updated: 23 July 2025

Support Vector Machines (SVMs) are powerful machine learning algorithms used for classification and regression tasks. When dealing with linearly separable data, SVMs use a...read more

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Machine Learning

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Data Science Questions

AI-ML-DS With Python

How to choose the right distance metric in KNN?

Last Updated: 01 November 2025

K-Nearest Neighbors (KNN) is a supervised learning algorithm that classifies new data points based on the closest existing labeled examples. To measure how “close” samples...read more

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Machine Learning

ML-Classification

Data Science Questions

AI-ML-DS With Python

Why is KNN a lazy learner?

Last Updated: 12 November 2024

The K-Nearest Neighbors (KNN) algorithm is known as alazy learnerbecause it does not build an internal model during the training phase. Instead, it simply stores the entir...read more

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Data Science Questions

How to parallelize KNN computations for faster execution?

Last Updated: 23 July 2025

Parallelizing K-Nearest Neighbors (KNN) computations can significantly reduce the time needed for processing, especially when dealing with large datasets. The KNN algorith...read more

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Machine Learning

ML-Classification

AI-ML-DS With Python

How to reduce KNN computation time using KD-Tree or Ball Tree?

Last Updated: 23 July 2025

The KNN algorithm works by calculating the distances between a query point and all points in the training dataset to find the k nearest neighbors. KNN's main drawback is i...read more

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Machine Learning

ML-Classification

Machine Learning

AI-ML-DS With Python

Does KNN need training?

Last Updated: 23 July 2025

No, the KNN does not need training before making predictions as K-Nearest Neighbors (KNN) is often categorized as a "lazy learner." The term "lazy learner" refers to the ...read more

Machine Learning

ML-Classification

Testing and Evaluating Your Model in KNIME

Last Updated: 23 July 2025

Evaluating the performance of machine learning models is a crucial step in the data science workflow. KNIME Analytics Platform provides a robust set of tools and nodes to ...read more

Machine Learning

ML-Classification

Understanding Decision Boundaries in K-Nearest Neighbours (KNN)

Last Updated: 02 May 2026

A decision boundary is a line or surface that divides different groups in a classification task. It shows which areas belong to which class based on what the model decides...read more

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Machine Learning

ML-Classification

AI-ML-DS With Python

Multi-class classification using Support Vector Machines (SVM)

Last Updated: 23 July 2025

Support Vector Machines (SVM) are widely recognized for their effectiveness in binary classification tasks. However, real-world problems often require distinguishing betwe...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Does the SVM in sklearn support incremental (online) learning?

Last Updated: 23 July 2025

Support Vector Machines (SVM) are popular for classification and regression tasks in machine learning. When it comes to incremental or online learning, the capabilities of...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Understanding Scikit-Learn's SVC: Decision Function and Predict

Last Updated: 23 July 2025

Scikit-Learn's SVC (Support Vector Classifier) is a powerful tool for classification tasks, particularly in situations where you have high-dimensional data or need to deal...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Determining Feature Importance in SVM Classifiers with Scikit-Learn

Last Updated: 23 July 2025

Support Vector Machines (SVM) are a powerful tool in the machine learning toolbox, renowned for their ability to handle high-dimensional data and perform both linear and n...read more

Machine Learning

ML-Classification

AI-ML-DS With Python

Implementing Decision Tree Classifiers with Scikit-Learn

Last Updated: 02 May 2026

A Decision Tree Classifier is a supervised machine learning algorithm that categorizes data by recursively splitting it based on feature-driven decision rules. Each intern...read more

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Machine Learning

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AI-ML-DS With Python

Data Science Blogathon 2024

Top Machine Learning Classification Algorithms

Last Updated: 06 January 2026

Machine learning classification algorithms are essential tools used to categorize data into predefined classes based on learned patterns. From simple linear models to adva...read more

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Machine Learning

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